Make AI work across departments.
Choose which business workflows to change, who owns the result and what teams should share. Put permissions, evaluation and operating responsibility into the rollout before expanding access.
Start with the handoffs that can stop delivery.
For a CIO, CISO or AI leader, the challenge is often coordination. A business team wants a useful system; IT owns the integration, Security reviews access and another team maintains it. Decide how those groups will approve, operate and improve the same workflow.
Start with one workflow and its current volume, delay, rework and quality. Name a business owner who can change the process and a technical owner who can maintain it. Then agree which result would justify expansion.
Which decision are you facing?
| Situation | Decision | Useful guide |
|---|---|---|
| Several teams want AI, but priorities conflict. | Who can choose work, approve exceptions and accept the result? | Implementation leadership |
| Every team is building its own connectors and prompts. | Which identity, gateways, context and checks should be shared? | Shared AI infrastructure |
| A pilot works, but rollout is stuck. | What must change in roles, training and daily work? | Adoption across teams |
Security approval is a workflow decision.
Before a connected agent gets access, list the data it can read, the actions it can take and whose authority it uses. Test restricted documents, cross-team access, approval expiry and access revocation. Assign someone who can stop the workflow and handle an incident.
A shared platform needs common identity, tool approval, logging and evaluation. Each workflow still needs its own permitted actions, exception owner and acceptance cases. A company brain is one source of context inside this infrastructure, not the entire platform.
Define agent permissions and decision rights; review vendor evidence; then use the release checklist. Employee tool use has a separate operating question: how to provide an approved AI path.
Agree what the first engagement must produce.
- A ranked workflow backlog with baselines and explicit reasons to defer work.
- A delivery mandate naming business, technical, security and exception owners.
- A narrow working system with tests for permissions, quality and failure recovery.
- A rollout and handover plan with running costs and a decision about expansion.
If there is no internal leader able to coordinate this work, Naman can serve as fractional AI leader. Teams that already have an owner can start with an AI Audit or a scoped implementation.
Inspect the work behind the approach.
The agent coordination case includes persistent decisions, controlled handoffs and inspectable checks. The fintech adoption case describes changing work across functions. Use these to assess the method; agree your own acceptance criteria for the system you need.
A technology company may follow this enterprise path when shared ownership and controls are the main constraint. Company size alone does not decide which path fits.
Choose the path that fits the work.
Enterprise teams · Startup founders · Established and growing businesses. Technology companies can fit any of these paths. Use the decision, team structure and customer obligations to choose.